Delivered ProjectsFAIRMethods Hub
Methods Hub
This project enabled the digitization of analytical methods for seamless exchange between different High-Performance Liquid Chromatography (HPLC) systems and Chromatography Data Systems (CDS).
This project enabled the digitization of analytical methods for seamless exchange between different High-Performance Liquid Chromatography (HPLC) systems and Chromatography Data Systems (CDS).
This collaborative project was launched to create a bottom-up qualitative database of Natural Language Processing (NLP) use cases, enabling practitioners in pharmaceutical companies to share successes and failures with peers. In 2024, the database was expanded to include use cases relying on Large Language Models (LLMs), with the explicit aim of identifying factors that drive success or failure of NLP and LLM projects.
This project aims to convert unstructured assay protocol descriptions into a high-quality FAIR data set, and create standards for this information.
FAIR implementation project’s goal is to enable pre-competitive instruments for the implementation of FAIR data principles.